Making it faster and safer to prove your age
Our age estimation technology accurately estimates a person’s age by looking at their face. We built it to give everyone a secure and private way of proving how old they are in different everyday scenarios: from age checking on social platforms and online stores, to supermarket self-checkouts, bars and clubs. This privacy-friendly approach to age verification doesn’t require any personal details or documents, and all information is instantly deleted once someone receives their estimated age – nothing is ever viewed by a human.
Key takeaways from the report
- True Positive Rate (TPR) for 13-17 year olds correctly estimated as under 21 is 99.3%.
- Ranked by NIST most accurate MAE for 13-16 year olds
- There is no discernible bias across gender or skin tone for 13-17 year olds. The current TPRs are:
- 99.3% and 99.5% for females and males respectively.
- 99.6%, 99.0% and 98.9% for skin tones 1, 2 and 3 respectively.
- TPR for 6-12 year olds correctly estimated as under 13 is 99.0%.
- The current accuracy rates (Mean Absolute Errors) are:
- 2.4 years for 6-70 year olds.
- 1.1 years for 13-17 year olds.
- 1.3 years for 6-12 year olds.
- Users are not individually identifiable.
- Helps organisations to meet Children’s Codes or Age Appropriate Design Codes.
- Does not result in the processing of special category data.
- Gender and skin tone bias minimised.
The Facial Age Estimation model used and referred to in our latest white paper may not always be the same Facial Age Estimation model in production.
